本文選題：三維重建 + 多視角　； 參考：《浙江大學》2013年碩士論文

【摘要】：近年來,隨著影視動漫、逆向工程和工業(yè)檢測等行業(yè)的迅速發(fā)展,三維重建作為其中核心技術(shù)之一,受到了普遍的關注和研究。本論文研究的三維重建基于一個旋轉(zhuǎn)平臺,該平臺繞其中心軸做指定角度旋轉(zhuǎn),拍攝物體多個角度圖像,獲取物體完整的三維模型。論文圍繞多視角三維數(shù)據(jù)獲取和處理上的若干關鍵技術(shù)進行探討,主要有三維數(shù)據(jù)的獲取,不同視角三維數(shù)據(jù)的配準、融合等技術(shù)。 三維數(shù)據(jù)的獲取。本文設計了基于雙目立體視覺的旋轉(zhuǎn)平臺系統(tǒng),該系統(tǒng)由兩個攝像機及一個可精確控制的旋轉(zhuǎn)平臺構(gòu)成。針對雙目立體視覺在物體無紋理區(qū)域,匹配難度較大的問題,結(jié)合時空立體視覺方法,用投影儀向物體表面投射條紋以增加紋理,實現(xiàn)了物體表面無紋理區(qū)域的精確重建。 多視角三維數(shù)據(jù)的配準是構(gòu)建完整三維模型的重要一步,目的就是尋找不同視角數(shù)據(jù)的空間位置轉(zhuǎn)換關系,從而將這些空間點云數(shù)據(jù)統(tǒng)一到一個坐標系內(nèi)。本文提出一種簡捷有效的配準算法。算法根據(jù)標定板圖像角點信息,推導出不同視角下點云數(shù)據(jù)的坐標轉(zhuǎn)換關系,進而實現(xiàn)數(shù)據(jù)粗配準。目前使用最為廣泛的精配準算法是兩視角ICP算法,在此基礎上,本文實現(xiàn)了多個視角的全局配準ICP算法,實現(xiàn)了各視角點云數(shù)據(jù)的高精度配準。 多視角三維數(shù)據(jù)融合是三維重建的另一重要環(huán)節(jié),指合并不同角度采集三維數(shù)據(jù)的重疊區(qū)域,目前被廣泛應用的有基于網(wǎng)格縫合和基于隱式曲面的等融合方法。本文實現(xiàn)了基于泊松方程的隱式曲面融合算法,較好地重建了物體表面。 實驗結(jié)果表明,采用本文提出方法構(gòu)建的三維模型精度高,真實感強且視覺效果令人滿意。
[Abstract]:In recent years, with the rapid development of animation, reverse engineering and industrial detection, 3D reconstruction, as one of the core technologies, has received widespread attention and research. The 3D reconstruction in this paper is based on a rotating platform, which rotates around its center axis at specified angles, and takes multiple angle images of the object to obtain the complete 3D model of the object. In this paper, some key techniques of multi-view 3D data acquisition and processing are discussed, including 3D data acquisition, registration and fusion of 3D data with different visual angles. 3 D data acquisition. A rotating platform system based on binocular stereo vision is designed in this paper. The system is composed of two cameras and a precise controlled rotation platform. In order to solve the problem that binocular stereo vision is difficult to match in non-texture area of object, combining with spatio-temporal stereo vision method, the projector is used to project stripes to the surface of object to increase the texture, and the accurate reconstruction of texture-free area of object surface is realized. The registration of multi-view 3D data is an important step in constructing a complete 3D model. The purpose is to find out the spatial position transformation relation of the data of different visual angle, and to unify these spatial point cloud data into one coordinate system. This paper presents a simple and efficient registration algorithm. Based on the corner information of the calibration board image, the coordinate transformation relationship of point cloud data from different angles is deduced, and the rough registration of the data is realized. At present, the most widely used precision registration algorithm is the two-angle ICP algorithm. On this basis, the global registration ICP algorithm with multiple angles of view is implemented, and the high precision registration of the point cloud data of each angle is realized. Multi-angle 3D data fusion is another important part of 3D reconstruction. It combines overlapping regions of 3D data collected from different angles. At present, it is widely used in mesh suture and implicit surface based equal-fusion methods. The implicit surface fusion algorithm based on Poisson equation is implemented in this paper. The experimental results show that the 3D model constructed by the proposed method has high accuracy, strong reality and satisfactory visual effect.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP391.41

【參考文獻】

相關期刊論文 前5條

1 張艷麗,李曉星,楊興,周賢賓;小型零件測量的旋轉(zhuǎn)拼接[J];航天制造技術(shù);2005年01期

2 張鴻賓,謝豐;基于表面間距離度量的多視點距離圖像的對準算法[J];中國科學E輯:信息科學;2005年02期

3 仲思東,熊軍,劉勇;基于全周多視角的三維重建技術(shù)[J];機器人;2004年06期

4 高鵬東;彭翔;李阿蒙;劉曉利;;ICP框架下基于表面間平均體積測度的深度像配準[J];計算機輔助設計與圖形學學報;2007年06期

5 胡事民;楊永亮;來煜坤;;數(shù)字幾何處理研究進展[J];計算機學報;2009年08期

相關碩士學位論文 前3條

1 沈媛;基于圖像序列的三維建模關鍵技術(shù)研究及應用[D];南京郵電大學;2011年

2 尹茂東;基于旋轉(zhuǎn)平臺的物體表面三維重建研究[D];青島大學;2007年

3 袁亮;三維重建過程中的點云數(shù)據(jù)配準算法的研究[D];西安電子科技大學;2010年

，

本文編號：1813129